Accelerator - Digital Data Scientist - All Gender

Job description

Our Team:

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.

Remote working : 2 days remote working, 3 days on site

Main responsibilities:

·  Work with business teams to understand requirements, and translate them into technical needs
·  Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products.
·  Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case  
·  Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies.
·  Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models.
·  Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.
·  Work with developers, engineers, and MLOps to deliver AI/ML solutions.

You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.

Experience :

·  Experience developing deployable code and deploying models in product-focused development under an agile environment.
·  Experience in production-ready software development
·  Track record of applying machine learning/ deep learning approaches to solve molecule-related problems.
·  Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired.
·  Experience in a healthcare company is a strong plus

Soft skills :

·  Excellent written and verbal communication skills
·  Experience working with multiple teams to drive alignment and results
·  Service-oriented, flexible, positive team player
·  Self-motivated, takes initiative
·  Problem solving & critical thinking

Technical skills :

·  Expertise in business analysis, data visualization and data storytelling
·  Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
·  Expertise with sensitive data in critical environments (healthcare, defense,...)
·  Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
·  Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
·  Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
·  Knowledge of Tableau, Power BI, Plotly or similar
·  Experience with various enterprise-level Application Programming Interfaces (APIs)
·  Good knowledge of AI regulations

Education :

·  PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain

Languages : English

We provide a highly collaborative environment, with an opportunity to work with a world class team. You will be able to:

Learn what it takes to make a service with a truly global reach.

Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences. 

Engage in meaningful work that combines the challenges of the medical, pharma, and technical fields, offering abundant opportunities for professional growth and impact. 

Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health. 

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

#Accelerator

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities.